Data Science

Il y a 7 mois

Paris, France Saint Gobain Temps plein

**Missions et responsabilités**
We are looking for an intern to conduct a comprehensive literature review of existing methods for automatically evaluating the performance of LLM-based chatbots and to implement the most relevant approaches in our in-house Python library for the efficient development of chatbots tailored to diverse internal use cases (such as generating this enticing internship description).

**Core Responsibilities**:

- Conduct an extensive literature review on methodologies for evaluating LLM-based chatbot performance, including metrics, benchmark datasets, and best practices.
- Identify and select the most suitable evaluation methods and metrics for assessing chatbot effectiveness.
- Implement the chosen evaluation methods in our internal Python library for chatbot development.
- Collaborate with cross-functional teams to integrate the library into the chatbot development pipeline.
- Experiment with various strategies for enhancing chatbot performance based on evaluation results.

**Technologies we use**
- Python
- Azure Machine Learning
- OpenAI language models
- State of the art CI/CD
- Git

**Profil recherché**
- Student in 4th or 5th year of engineering school or university, specialized in Machine Learning, Computer Science, Statistics or related fields
- Open to collaboration
- Good programming skills and familiar with Python/Git and open-source tools
- MS or equivalent in Machine Learning, Computer Science, Statistics or related fields
- Enthusiasm to make a meaningful impact through innovative solutions.
- Prior experience with chatbot development or NLP is a plus.

**Description additionnelle (contexte, évolution...)**

**Qui sommes-nous ?**
Leader mondial de la construction durable, Saint-Gobain conçoit, produit et distribue des matériaux et services pour les marchés de l’habitat et de l’industrie. Développées dans une dynamique d’innovation permanente, ses solutions intégrées pour la rénovation des bâtiments publics et privés, la construction légère et la décarbonation du monde de la construction et de l’industrie apportent durabilité et performance. L’engagement du Groupe est guidé par sa raison d’être MAKING THE WORLD A BETTER HOME.

Job Reference: FRA23825

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